Dataset: Predicting The Past: Titanic Survival With ML

About this Dataset

Predicting The Past: Titanic Survival With ML

The Titanic Passenger Survival Prediction Dataset is one of the most well-known beginner datasets for learning machine learning and data science. It is based on real data collected from the tragic RMS Titanic disaster that occurred on April 15, 1912, where over 1,500 of the approximately 2,224 passengers and crew perished.
Exploratory Data Analysis (EDA)

Data cleaning and feature engineering

Model training, validation, and prediction

Evaluation metrics for classification problems

Tables

Train

@kaggle.abhishekkkumark_titanic_survival_analysis_dataset.train

42.28 KB
891 rows
12 columns


CREATE TABLE train (
  "passengerid" BIGINT,
  "survived" BIGINT,
  "pclass" BIGINT,
  "name" VARCHAR,
  "sex" VARCHAR,
  "age" DOUBLE,
  "sibsp" BIGINT,
  "parch" BIGINT,
  "ticket" VARCHAR,
  "fare" DOUBLE,
  "cabin" VARCHAR,
  "embarked" VARCHAR
);

Gender Analysis Dataset

@kaggle.abhishekkkumark_titanic_survival_analysis_dataset.gender_analysis_dataset

4.52 KB
418 rows
2 columns


CREATE TABLE gender_analysis_dataset (
  "passengerid" BIGINT,
  "survived" BIGINT
);

Test

@kaggle.abhishekkkumark_titanic_survival_analysis_dataset.test

24.88 KB
418 rows
11 columns


CREATE TABLE test (
  "passengerid" BIGINT,
  "pclass" BIGINT,
  "name" VARCHAR,
  "sex" VARCHAR,
  "age" DOUBLE,
  "sibsp" BIGINT,
  "parch" BIGINT,
  "ticket" VARCHAR,
  "fare" DOUBLE,
  "cabin" VARCHAR,
  "embarked" VARCHAR
);